QUANTUM APPROXIMATION OPTIMIZER FOR DISTRIBUTED REGISTER VALIDATION

    公开(公告)号:US20230316119A1

    公开(公告)日:2023-10-05

    申请号:US17708977

    申请日:2022-03-30

    CPC classification number: G06N10/20 G06N10/80

    Abstract: A system for validating one or more blocks of a distributed register typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The classical computer apparatus is configured for receiving an interaction, authenticating the interaction, creating a block representing the interaction to be placed in a distributed register, transmitting the block representing the interaction to the quantum optimizer. The quantum optimizer in response to receiving the block representing the interaction, validates the block and transmits the validated block to the validation application.

    SYSTEM FOR IMPLEMENTING RESOURCE ACCESS PROTOCOLS WITHIN A NETWORKED MEDIUM

    公开(公告)号:US20230162168A1

    公开(公告)日:2023-05-25

    申请号:US17533265

    申请日:2021-11-23

    CPC classification number: G06Q20/1235 G06F16/27 H04L63/10

    Abstract: Systems, computer program products, and methods are described herein for implementing resource access protocols within a networked medium. The present invention is configured to receive, from a second user input device of a second user, a request to access a resource in the metaverse; retrieve a non-fungible token (NFT) of the resource in response to the request; retrieve, from a licensing layer associated with the NFT of the resource, licensing rules associated with access to the resource; determine, using a valuation engine, a value associated with access to the resource based on at least the one or more licensing rules; receive, from the second user input device, an indication acknowledging the licensing rules and a digital transfer of an amount of funds corresponding to the value associated with the access to the resource; and authorize the second user input device to access the resource in the metaverse.

    SYSTEM FOR PREDICTIVE VIRTUAL SCENARIO PRESENTATION

    公开(公告)号:US20230057371A1

    公开(公告)日:2023-02-23

    申请号:US17405624

    申请日:2021-08-18

    Abstract: A scenario presentation device presents, in an electronic display, selectable for possible activities. The device receives a selection of a first scenario option. The selected first scenario option corresponds to a selected activity that includes an action involving an item to be performed over a period of time. The device determines anticipated changes to the environment over the period of time. Using the anticipated changes to the environment over the period of time, a projected environment representation is determined for the selected activity. The projected environment representation includes one or more images depicting changes to the environment. The projected environment representation is presented in the electronic display.

    System for identifying suspicious code embedded in a file in an isolated computing environment

    公开(公告)号:US11574056B2

    公开(公告)日:2023-02-07

    申请号:US16913427

    申请日:2020-06-26

    Abstract: Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze suspicious information. The suspicious information may first be checked for signatures or patterns before being analyzed by the analyst or the isolation system. The identified signatures or patterns are then compared with the stored signatures or patterns to determine whether the suspicious information comprises harmful information or not. When the identified signatures or patterns are matched with stored signatures or patterns, the system may determine that the suspicious information comprises harmful information and performs one or more mitigation actions.

    SYSTEM FOR IDENTIFYING SUSPICIOUS CODE IN AN ISOLATED COMPUTING ENVIRONMENT BASED ON CODE CHARACTERISTICS

    公开(公告)号:US20210397699A1

    公开(公告)日:2021-12-23

    申请号:US16908155

    申请日:2020-06-22

    Abstract: Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze suspicious information. The suspicious information may first be hashed before being analyzed by the analyst. The hash for the suspicious information may be compared to stored hashes. When the hash meets a stored harmful hash the suspicious information may be determined to include harmful information without having to be further analyzed. When the hash meets a stored acceptable hash the suspicious information may be determined to be acceptable information without having to be further analyzed. Should the hash for the suspicious information fail to meet any stored hashes, then the suspicious information may be analyzed for harmful information within the virtual container.

    Predictive load modeling using a digital twin of a computing infrastructure

    公开(公告)号:US20240256361A1

    公开(公告)日:2024-08-01

    申请号:US18162772

    申请日:2023-02-01

    CPC classification number: G06F9/5077 G06F9/5083

    Abstract: A system includes a computing infrastructure, a memory that stores a digital twin of the computing infrastructure, and at least one processor configured to generate simulated containers relating to a job flow, wherein each simulated container simulates a corresponding actual container relating to the job flow that is to run on the computing infrastructure. The digital twin is configured based on configuration parameters to mimic a particular state of the computing infrastructure. A simulation of the job flow is iteratively run on the configured digital twin to determine an allocation of the simulated containers to simulated hardware components that resulted in one or more performance parameters satisfying the respective thresholds.

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